QoS provisioning framework for service-oriented internet of things (IoT)

Badawy, Mahmoud; Ali, Zainab H.; Ali, Hesham A.

doi:10.1007/s10586-019-02945-x

Cited by 57 publications

(23 citation statements)

References 22 publications

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“…Yet, the use of small predefined composition building blocks can support a flexible type of composition at the runtime. For instance, Badawy et al [22] attempt to maximise the composite service quality at the IoT application layer by balancing service reliability and acceptable cost of computation time. This effort is limited to particular use cases and does not consider other IoT critical features such as power consumption.…”

Section: Soa For Iot In the Literaturementioning

confidence: 99%

A Service-Oriented Approach for Sensing in the Internet of Things: Intelligent Transportation Systems and Privacy Use Cases

et al. 2021

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This paper presents a Sensing-as-a-Service run-time Service Oriented Architecture (SOA), called 3SOA, for the development of Internet of Things (IoT) applications. 3SOA aims to allow interoperability among various IoT platforms and support service-oriented modelling at high levels of abstraction where fundamental SOA theories and techniques are fully integrated into a practical software engineering approach. 3SOA abstracts the dependencies of the middleware programming model from the application logic. This abstraction allows the development efforts to focus on writing the application logic independently from hardware platforms, middleware, and languages in which applications are programmed. To achieve this result, IoT objects are treated as independent entities that may interact with each other using a well-defined message exchange sequence. Each object is defined by the services it provides and the coordination protocol it supports. Objects are then able to coordinate their resources to address the global objectives of the system. To practically validate our proposals, we demonstrate an intelligent transportation system and data privacy functional prototypes as proof of concepts. The use cases show that 3SOA and the presented abstraction language allow the amalgamation of macroprogramming and node-centric programming to develop real-time and efficient applications over IoT.

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Section: Soa For Iot In the Literaturementioning

confidence: 99%

A Service-Oriented Approach for Sensing in the Internet of Things: Intelligent Transportation Systems and Privacy Use Cases

et al. 2021

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“…The conventional IoT architectures and infrastructures along with the information communication technologies (ICTs) are preserved in this platform with the concentration of service reliability and swiftness in access. The need for ubiquitous service requirements and resource access is increasing the recent times due to the portability of information and user-centric application demands [2,5]. To meet the service requirements as user demands in a scalable and flexible manner, the ICTs are exploited to another level of communication along with data sharing and responsive integrations.…”

Section: Introductionmentioning

confidence: 99%

“…Service-concentric architecture design and implementation is focused with the assimilation of multiple platforms such as cloud, fog, mobile-edge computing, etc. The platform, application, and infrastructure as a service of the cloud paradigms are extended to the user devices through the intermediate architectures such as edge, fog and IoT [2,10]. These architectures assures reliable and ease of access for the distributed environment, improving the service requirements for the end-users.…”

Section: Introductionmentioning

confidence: 99%

Concurrent service access and management framework for user-centric future internet of things in smart cities

Gomathi¹,

Baskar

Shakeel

2020

Complex Intell. Syst.

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Future Internet of Things (FIoT) is a service concentric distributed architecture that is used by the smart city users for information sharing and access. The design of FIoT focuses in achieving reliable service and response to the growing user demands through different interoperability features. In this manuscript, concurrent service access and management framework is introduced to improve the swiftness in user concentric request processing. Based on the availability of the services and the density of the users, the concurrency in information access is provided to the users in a reliable manner. The framework incorporates convolution neural learning process in linear and differential manner for improving the access and service usage rates of the requesting users. The access sessions are differentiated for the accessible and offloaded requests to the available service providers based on the learning instances. The proposed framework is assessed using the metrics access rate, service usage rate, access delay, time lag, and failure ratio.

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“…To this end, organizations start to provide their core business in the form of services over the web. So, the concept of web services becomes very important ,and a challenge for many researchers [2]. The best service composition and service recommendation in the SOA integration context are two important aspects of applications that mainly depend on web services.…”

Section: Introductionmentioning

confidence: 99%

Towards Service Composition based on Hybrid Bio-Inspired Cloud-based QoS Provisioning Approach.

Bahgat¹,

Salam²,

Atwan³

et al. 2020

Preprint

Self Cite

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It has recently become a critical issue to provide software development in a service-based conceptual style for business companies . As a powerful technology for service-oriented computing, the composition of web services is investigated. This offered great opportunities to improve IT industries and business processes by forming new value-added services that satisfy the user’s complex requirements. Unfortunately, many challenges are facing the service composition process. These include the difficulties to satisfy the user’s complex demands, maintaining the performance to be matched with the quality of service (QoS) requirements, and search space reduction for QoS missing or changeable values. Accordingly, this paper proposes a cloud-based QoS provisioning service composition (CQPC) framework to address these challenges. To prove the concept and the applicability of the CQPC framework, a Hybrid Bio-Inspired QoS provisioning (HBIQP) technique is presented for the operation of the CQPC framework modules. The solution space is reduced via utilizing skyline concepts to have faster execution time and keep only reliable and most interesting services. The CQPC framework is equipped with two proposed algorithms: (i) the modified highly accurate prediction (MHAP) algorithm to enhance the prediction of QoS values of the services participating in the composition process, (ii) the MapReduce fruit fly Particle swarm Optimization (MR-FPSO) algorithm to handle composing web services for large scale of data in the cloud environment. The experimental results demonstrate the worthiness of the HBIQP technique to meet the performance metrics more than other state-of-the-art techniques in terms of average fitness value, accuracy, and execution time.

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QoS provisioning framework for service-oriented internet of things (IoT)

Cited by 57 publications

References 22 publications

A Service-Oriented Approach for Sensing in the Internet of Things: Intelligent Transportation Systems and Privacy Use Cases

A Service-Oriented Approach for Sensing in the Internet of Things: Intelligent Transportation Systems and Privacy Use Cases

Concurrent service access and management framework for user-centric future internet of things in smart cities

Towards Service Composition based on Hybrid Bio-Inspired Cloud-based QoS Provisioning Approach.

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